Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 639 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.🎯 Diya’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
2. 2.📦 Saanvi collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
4. 4.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
7. 7.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
9. 9.❌ Ishaan’s fruit sorter was tested on 42 new fruit photos and got 40 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
11. 11.❌ Nisha’s leaf identifier was tested on 42 new leaf photos and got 41 right. How many did it get wrong?
12. 12.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
13. 13.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
14. 14.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
15. 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
16. 16.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
17. 17.📦 Kabir collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
19. 19.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
20. 20.❌ Meera’s fruit sorter was tested on 45 new fruit photos and got 44 right. How many did it get wrong?
21. 21.❌ Kabir’s bird-song app was tested on 33 new bird songs and got 32 right. How many did it get wrong?
22. 22.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
23. 23.📦 Vihaan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
25. 25.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 17 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
27. 27.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
28. 28.❌ Meera’s spam spotter was tested on 33 new messages and got 27 right. How many did it get wrong?
29. 29.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
30. 30.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
31. 31.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
32. 32.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
33. 33.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
34. 34.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
38. 38.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
39. 39.❌ Vihaan’s leaf identifier was tested on 40 new leaf photos and got 38 right. How many did it get wrong?
40. 40.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students